CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Implementation of Improved Gaussian Filter Algorithm for Retinal Fundus Images

by S.A. Jameel, A.R. Mohamed Shanavas
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 8
Year of Publication: 2015
Authors: S.A. Jameel, A.R. Mohamed Shanavas
10.5120/ijca2015907489

S.A. Jameel, A.R. Mohamed Shanavas . Implementation of Improved Gaussian Filter Algorithm for Retinal Fundus Images. International Journal of Computer Applications. 132, 8 ( December 2015), 1-4. DOI=10.5120/ijca2015907489

@article{ 10.5120/ijca2015907489,
author = { S.A. Jameel, A.R. Mohamed Shanavas },
title = { Implementation of Improved Gaussian Filter Algorithm for Retinal Fundus Images },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 8 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number8/23611-2015907489/ },
doi = { 10.5120/ijca2015907489 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:28:45.451650+05:30
%A S.A. Jameel
%A A.R. Mohamed Shanavas
%T Implementation of Improved Gaussian Filter Algorithm for Retinal Fundus Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 8
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Gaussian filter has an important role in edge detection. In this paper, a new methodology for edge detection using Gaussian second order derivative filters is proposed. Channel separation for Retinal Colour Fundus image is used followed by Gaussian filter. The performance of our proposed method has been assessed on 23 images representing the publicly available dataset; High-Resolution Fundus (HRF) Image Database.

References
  1. Basu, Mitra. "Gaussian-based edge-detection methods-a survey." IEEE Transactions on Systems, Man, and Cybernetics, Part C 32.3 (2002): 252-260.
  2. Choomchuay, Somsak, and Keokanlaya Sihalath. "An application of second derivative of gaussian filters in fingerprint image enhancement." Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on. IEEE, 2010.
  3. Raman Maini (2012) Analysis and development of image edge detection techniques. PhD thesis. Punjabi University. http://hdl.handle.net/10603/3660.
  4. Perazzi, Federico, et al. "Saliency filters: Contrast based filtering for salient region detection." Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012.
  5. P Gastal, Eduardo SL, and Manuel M. Oliveira. "Domaintransform for edge-aware image and video processing." ACM Transactions on Graphics (TOG). Vol. 30. No. 4. ACM, 2011.
  6. Baek, Jongmin, and David E. Jacobs. "Accelerating spatially varying Gaussian filters." ACM Transactions on Graphics (TOG). Vol. 29. No. 6. ACM, 2010.
  7. Deng, G., and L. W. Cahill. "An adaptive Gaussian filter for noise reduction and edge detection." Nuclear Science Symposium and Medical Imaging Conference, 1993., 1993 IEEE Conference Record.. IEEE, 1993.
  8. Bao, Chen, and Chen Sheng. "A parameterized logarithmic image processing method based on Laplacian of Gaussian filtering for lung nodules enhancement in chest radiographs." Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on. IEEE, 2013.
  9. R. Hashim, Fatma. A., Nancy. M. Salem, and Ahmed Farag Seddik. "Optic disc boundary detection from digital fundus images." Journal of Medical Imaging and Health Informatics 5.1 (2015): 50-56.
  10. Jan Odstrcilik, R. Kolar, A. Budai, J. Hornegger, J. Jan, J. Gazarek, T. Kubena, P. Cernosek, O. Svoboda, and E. Angelopoulou, “Retinal vessel segmentation by improved matched filtering: Evaluation on a new high-resolution fundus image database,” IET Image Process., vol. 7, no. 4, pp. 373–383, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Gaussian filter Gaussian second order derivative filter Fundus image

Powered by PhDFocusTM